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2020 – today
- 2023
[i1]Ruth Veevers
, Dan MacLean:
Improved K-mer Based Prediction of Protein-Protein Interactions With Chaos Game Representation, Deep Learning and Reduced Representation Bias. CoRR abs/2310.14764 (2023)- 2021
- [j16]Ruth Kristianingsih, Dan MacLean:
Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks. BMC Bioinform. 22(1): 372 (2021)
2010 – 2019
- 2019
- [j15]Ghanasyam Rallapalli, Pilar Corredor-Moreno, Edward Chalstrey, Martin Page, Daniel MacLean:
Rapid fine mapping of causative mutations from sets of unordered, contig-sized fragments of genome sequence. BMC Bioinform. 20(1): 9 (2019) - 2015
- [j14]Manuel Corpas, Rafael C. Jiménez, Erik Bongcam-Rudloff, Aidan Budd, Michelle D. Brazas, Pedro L. Fernandes, Bruno A. Gaëta, Celia W. G. van Gelder, Eija Korpelainen, Fran Lewitter, Annette McGrath, Daniel MacLean, Patricia M. Palagi, Kristian Rother, Jan Taylor, Allegra Via, Mick Watson, Maria Victoria Schneider, Teresa K. Attwood:
The GOBLET training portal: a global repository of bioinformatics training materials, courses and trainers. Bioinform. 31(1): 140-142 (2015) - [j13]Reda Younsi, Dan MacLean:
Using 2k + 2 bubble searches to find single nucleotide polymorphisms in k-mer graphs. Bioinform. 31(5): 642-646 (2015) - [j12]Graham J. Etherington, Ricardo H. Ramirez-Gonzalez, Dan MacLean:
bio-samtools 2: a package for analysis and visualization of sequence and alignment data with SAMtools in Ruby. Bioinform. 31(15): 2565-2567 (2015) - 2013
- [j11]Graham J. Etherington, Daniel MacLean:
SVGenes: a library for rendering genomic features in scalable vector graphic format. Bioinform. 29(15): 1890-1892 (2013) - 2012
- [j10]Raoul Jean Pierre Bonnal, Jan Aerts, George Githinji, Naohisa Goto, Daniel MacLean, Chase A. Miller, Hiroyuki Mishima, Massimiliano Pagani, Ricardo Ramirez-Gonzalez, Geert Smant, Francesco Strozzi, Rob Syme, Rutger A. Vos, Trevor J. Wennblom, Ben J. Woodcroft, Toshiaki Katayama, Pjotr Prins:
Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics. Bioinform. 28(7): 1035-1037 (2012) - [j9]Ricardo Ramirez-Gonzalez, Raoul Jean Pierre Bonnal, Mario Cáccamo, Daniel MacLean:
Bio-samtools: Ruby bindings for SAMtools, a library for accessing BAM files containing high-throughput sequence alignments. Source Code Biol. Medicine 7: 6 (2012) - 2011
- [j8]Ricardo Ramirez-Gonzalez, Mario Cáccamo, Daniel MacLean:
Gee Fu: a sequence version and web-services database tool for genomic assembly, genome feature and NGS data. Bioinform. 27(19): 2754-2755 (2011) - [j7]Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization. Neurocomputing 74(17): 3125-3141 (2011) - 2010
- [j6]Daniel MacLean, Vincent Moulton, David J. Studholme:
Finding sRNA generative locales from high-throughput sequencing data with NiBLS. BMC Bioinform. 11: 93 (2010) - [j5]Iren Valova, Derek Beaton, Daniel MacLean, John Hammond:
NIPSOM: Parallel Architecture and Implementation of a Growing SOM. Comput. J. 53(6): 753-771 (2010) - [j4]Derek Beaton, Iren Valova, Daniel MacLean:
CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. Neurocomputing 73(10-12): 2147-2159 (2010) - [j3]Pawel Durek, Robert Schmidt, Joshua L. Heazlewood, Alexandra Jones, Daniel MacLean, Axel Nagel, Birgit Kersten, Waltraud X. Schulze:
PhosPhAt: the Arabidopsis thaliana phosphorylation site database. An update. Nucleic Acids Res. 38(Database-Issue): 828-834 (2010) - [j2]Iren Valova, Derek Beaton, Alexandre Buer, Daniel MacLean:
Fractal initialization for high-quality mapping with self-organizing maps. Neural Comput. Appl. 19(7): 953-966 (2010)
2000 – 2009
- 2009
- [c6]Derek Beaton, Iren Valova, Daniel MacLean:
Growing mechanisms and cluster identification with TurSOM. IJCNN 2009: 280-287 - [c5]Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A Turing inspired Self-Organizing Map. IJCNN 2009: 288-295 - [c4]Derek Beaton, Iren Valova, Daniel MacLean:
The Use of TurSOM for Color Image Segmentation. SMC 2009: 4232-4237 - 2008
- [j1]Simon Moxon, Frank Schwach, Tamas Dalmay, Daniel MacLean, David J. Studholme, Vincent Moulton:
A toolkit for analysing large-scale plant small RNA datasets. Bioinform. 24(19): 2252-2253 (2008) - [c3]Iren Valova, Daniel MacLean, Derek Beaton:
Identification of Patterns via Region-Growing Parallel SOM Neural Network. ICMLA 2008: 853-858 - 2007
- [c2]Daniel MacLean, Iren Valova:
Parallel Growing SOM Monitored by Genetic Algorithm. IJCNN 2007: 1697-1702 - 2006
- [c1]John Hammond, Daniel MacLean, Iren Valova:
A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. IJCNN 2006: 958-965
Coauthor Index
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